Pandas Profiling Report

Overview

Dataset statistics

Number of variables71
Number of observations76
Missing cells1467
Missing cells (%)27.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory42.3 KiB
Average record size in memory569.7 B

Variable types

CAT61
UNSUPPORTED6
NUM4

Warnings

DESFECHO has constant value "76" Constant
TIPO_REGISTRO has constant value "76" Constant
SN_IFI_OV_SINCICIAL_RESP has constant value "76" Constant
SN_IFI_OV_PARAINFLU3 has constant value "76" Constant
SN_IFI_OV_PARAINFLU2 has constant value "76" Constant
SN_IFI_OV_PARAINFLU1 has constant value "76" Constant
SN_IFI_OV_INFLUA has constant value "76" Constant
SN_IFI_OV_INFLUB has constant value "76" Constant
SN_IFI_OV_ADENOVIRUS has constant value "76" Constant
SN_CRIT_CONTATO_CASO_COVID has constant value "76" Constant
SN_CRIT_CONTATO_CASO_SUSPEITO has constant value "76" Constant
SN_CRIT_PROF_SAUDE_OUT has constant value "76" Constant
SN_CRIT_SINDROME_GRIPAL has constant value "76" Constant
SN_CRIT_IGNORADO has constant value "76" Constant
SN_CRIT_OUTROS has constant value "76" Constant
SN_CRIT_PROT_COVID19 has constant value "76" Constant
ESTUDO_COMORB_PREV_DMI has constant value "76" Constant
ESTUDO_COMORB_PREV_ADENOMA has constant value "76" Constant
ESTUDO_COMORB_PREV_LINFOMA has constant value "76" Constant
ESTUDO_COMORB_PREV_ASMA has constant value "76" Constant
ESTUDO_COMORB_PREV_EPILEPSIA has constant value "76" Constant
ESTUDO_COMORB_PREV_HIGIDO has constant value "76" Constant
ESTUDO_CONDUTA has constant value "76" Constant
ESTUDO_COMORB_PREV_DESCON has constant value "76" Constant
ESTUDO_COMORB_PREV_DVP has constant value "76" Constant
ESTUDO_COMORB_PREV_DEMENCIA has constant value "76" Constant
ESTUDO_COMORB_PREV_DTC has constant value "76" Constant
ESTUDO_COMORB_PREV_DFL has constant value "76" Constant
ESTUDO_COMORB_PREV_DFM has constant value "76" Constant
ESTUDO_COMORB_PREV_HEMIPLEGIA has constant value "76" Constant
ESTUDO_COMORB_PREV_LEUCEMIA has constant value "76" Constant
ESTUDO_COMORB_PREV_HIV has constant value "76" Constant
COMPETENCIA has a high cardinality: 55 distinct values High cardinality
DATA_COLETA is highly correlated with COMPETENCIA and 9 other fieldsHigh correlation
COMPETENCIA is highly correlated with DATA_COLETAHigh correlation
LOCAL_COLETA is highly correlated with DATA_COLETA and 1 other fieldsHigh correlation
SN_CRIT_SRAG is highly correlated with DATA_COLETA and 1 other fieldsHigh correlation
ESTUDO_TP_EXPOSICAO is highly correlated with DATA_COLETA and 2 other fieldsHigh correlation
ESTUDO_COMORB_PREV_IAM is highly correlated with DATA_COLETA and 1 other fieldsHigh correlation
ESTUDO_COMORB_PREV_IC is highly correlated with DATA_COLETA and 1 other fieldsHigh correlation
ESTUDO_COMORB_PREV_AVC is highly correlated with DATA_COLETA and 2 other fieldsHigh correlation
ESTUDO_COMORB_PREV_OBESIDADE is highly correlated with DATA_COLETA and 1 other fieldsHigh correlation
ESTUDO_COMORB_PREV_OUTRAS is highly correlated with DATA_INICIO_SINTOMAS and 9 other fieldsHigh correlation
DATA_INICIO_SINTOMAS is highly correlated with ESTUDO_COMORB_PREV_OUTRASHigh correlation
ESTUDO_LOCAL_CONTAMINACAO is highly correlated with DATA_COLETA and 1 other fieldsHigh correlation
ESTUDO_COMORB_PREV_UP is highly correlated with ESTUDO_COMORB_PREV_OUTRASHigh correlation
ESTUDO_COMORB_PREV_TUL is highly correlated with ESTUDO_COMORB_PREV_OUTRASHigh correlation
ESTUDO_COMORB_PREV_TUM is highly correlated with DATA_COLETA and 1 other fieldsHigh correlation
PORTA_ENTRADA has 76 (100.0%) missing values Missing
DATA_INICIO_SINTOMAS has 68 (89.5%) missing values Missing
HISTORICO_VIAGEM has 75 (98.7%) missing values Missing
CIDADES_VISITADAS has 76 (100.0%) missing values Missing
LOCAL_COLETA has 51 (67.1%) missing values Missing
DATA_COLETA has 52 (68.4%) missing values Missing
SN_CRIT_PROF_SAUDE_HOSPITAL has 76 (100.0%) missing values Missing
ESTUDO_TP_EXPOSICAO has 60 (78.9%) missing values Missing
ESTUDO_COMORB_PREV_OUTRAS has 63 (82.9%) missing values Missing
ESTUDO_CHARLSON has 62 (81.6%) missing values Missing
ESTUDO_FR_DIA_COLETA has 75 (98.7%) missing values Missing
ESTUDO_FC_DIA_COLETA has 75 (98.7%) missing values Missing
ESTUDO_PA_DIA_COLETA has 75 (98.7%) missing values Missing
ESTUDO_TEMPERATURA_DIA_COLETA has 76 (100.0%) missing values Missing
ESTUDO_SATURACAO_DIA_COLETA has 75 (98.7%) missing values Missing
ESTUDO_APACHE2 has 76 (100.0%) missing values Missing
ESTUDO_RISCO has 76 (100.0%) missing values Missing
ESTUDO_TRATAMENTO has 75 (98.7%) missing values Missing
ESTUDO_LOCAL_CONTAMINACAO has 61 (80.3%) missing values Missing
ESTUDO_LOCAL_CONTAM_UI has 69 (90.8%) missing values Missing
ESTUDO_DT_DESFECHO has 75 (98.7%) missing values Missing
COMPETENCIA is uniformly distributed Uniform
DATA_COLETA is uniformly distributed Uniform
ESTUDO_COMORB_PREV_OUTRAS is uniformly distributed Uniform
df_index has unique values Unique
CD_PACIENTE has unique values Unique
PORTA_ENTRADA is an unsupported type, check if it needs cleaning or further analysis Unsupported
CIDADES_VISITADAS is an unsupported type, check if it needs cleaning or further analysis Unsupported
SN_CRIT_PROF_SAUDE_HOSPITAL is an unsupported type, check if it needs cleaning or further analysis Unsupported
ESTUDO_TEMPERATURA_DIA_COLETA is an unsupported type, check if it needs cleaning or further analysis Unsupported
ESTUDO_APACHE2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
ESTUDO_RISCO is an unsupported type, check if it needs cleaning or further analysis Unsupported

Reproduction

Analysis started2021-09-16 22:15:38.353546
Analysis finished2021-09-16 22:15:52.256939
Duration13.9 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

df_index
Real number (ℝ≥0)

UNIQUE

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16328.88158
Minimum412
Maximum23322
Zeros0
Zeros (%)0.0%
Memory size608.0 B
2021-09-16T23:15:52.351985image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum412
5-th percentile1523.5
Q18299
median21797.5
Q322845.75
95-th percentile23231.75
Maximum23322
Range22910
Interquartile range (IQR)14546.75

Descriptive statistics

Standard deviation8855.141435
Coefficient of variation (CV)0.5422993236
Kurtosis-1.183684657
Mean16328.88158
Median Absolute Deviation (MAD)1122.5
Skewness-0.8346479839
Sum1240995
Variance78413529.84
MonotocityStrictly increasing
2021-09-16T23:15:52.496557image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2316711.3%
 
2091011.3%
 
2089911.3%
 
2103111.3%
 
2298411.3%
 
861511.3%
 
2320811.3%
 
273011.3%
 
183611.3%
 
2283111.3%
 
Other values (66)6686.8%
 
ValueCountFrequency (%) 
41211.3%
 
51011.3%
 
51911.3%
 
115911.3%
 
164511.3%
 
ValueCountFrequency (%) 
2332211.3%
 
2331811.3%
 
2330611.3%
 
2330311.3%
 
2320811.3%
 

CD_PACIENTE
Real number (ℝ≥0)

UNIQUE

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1662174.461
Minimum334322
Maximum2391927
Zeros0
Zeros (%)0.0%
Memory size608.0 B
2021-09-16T23:15:52.645174image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum334322
5-th percentile434569.75
Q11072231.75
median1992588
Q32377265
95-th percentile2390305.75
Maximum2391927
Range2057605
Interquartile range (IQR)1305033.25

Descriptive statistics

Standard deviation751115.2187
Coefficient of variation (CV)0.4518871133
Kurtosis-1.427841885
Mean1662174.461
Median Absolute Deviation (MAD)398959
Skewness-0.4379033106
Sum126325259
Variance5.641740718e+11
MonotocityNot monotonic
2021-09-16T23:15:52.785523image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
232268511.3%
 
149848311.3%
 
239183611.3%
 
152592111.3%
 
237558711.3%
 
115357311.3%
 
194832611.3%
 
153604011.3%
 
200196111.3%
 
235153111.3%
 
Other values (66)6686.8%
 
ValueCountFrequency (%) 
33432211.3%
 
38270311.3%
 
39213211.3%
 
39688911.3%
 
44713011.3%
 
ValueCountFrequency (%) 
239192711.3%
 
239183611.3%
 
239125811.3%
 
239091411.3%
 
239010311.3%
 

COMPETENCIA
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct55
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Memory size608.0 B
09/07/2020
 
4
23/02/2021
 
3
11/07/2020
 
2
25/02/2021
 
2
24/02/2021
 
2
Other values (50)
63 
ValueCountFrequency (%) 
09/07/202045.3%
 
23/02/202133.9%
 
11/07/202022.6%
 
25/02/202122.6%
 
24/02/202122.6%
 
07/03/202122.6%
 
11/03/202122.6%
 
05/03/202122.6%
 
16/03/202122.6%
 
25/03/202122.6%
 
Other values (45)5369.7%
 
2021-09-16T23:15:52.955201image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique37 ?
Unique (%)48.7%
2021-09-16T23:15:53.105636image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length10
Median length10
Mean length10
Min length10

PORTA_ENTRADA
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing76
Missing (%)100.0%
Memory size736.0 B

DATA_INICIO_SINTOMAS
Categorical

HIGH CORRELATION
MISSING

Distinct7
Distinct (%)87.5%
Missing68
Missing (%)89.5%
Memory size608.0 B
30/06/2020
2 
06/07/2020
1 
20/06/2020
1 
20/07/2020
1 
07/07/2020
1 
Other values (2)
2 
ValueCountFrequency (%) 
30/06/202022.6%
 
06/07/202011.3%
 
20/06/202011.3%
 
20/07/202011.3%
 
07/07/202011.3%
 
10/06/202011.3%
 
19/06/202011.3%
 
(Missing)6889.5%
 
2021-09-16T23:15:53.235857image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique6 ?
Unique (%)75.0%
2021-09-16T23:15:53.318773image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:53.447913image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length10
Median length3
Mean length3.736842105
Min length3

HISTORICO_VIAGEM
Categorical

MISSING

Distinct1
Distinct (%)100.0%
Missing75
Missing (%)98.7%
Memory size608.0 B
NAO
1 
ValueCountFrequency (%) 
NAO11.3%
 
(Missing)7598.7%
 
2021-09-16T23:15:53.562880image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%
2021-09-16T23:15:53.785434image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:53.856809image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length3
Mean length3
Min length3

CIDADES_VISITADAS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing76
Missing (%)100.0%
Memory size736.0 B

LOCAL_COLETA
Categorical

HIGH CORRELATION
MISSING

Distinct11
Distinct (%)44.0%
Missing51
Missing (%)67.1%
Memory size608.0 B
PRONTOPUC ADULTO
10 
PRONTOPUC ADULTO/INTE
5 
7 S - INTERNACAO
2 
6 S - INTERNACAO
 
1
EMERGENCIA ADULTA SUS
 
1
Other values (6)
6 
ValueCountFrequency (%) 
PRONTOPUC ADULTO1013.2%
 
PRONTOPUC ADULTO/INTE56.6%
 
7 S - INTERNACAO22.6%
 
6 S - INTERNACAO11.3%
 
EMERGENCIA ADULTA SUS11.3%
 
7 N - INTERNACAO11.3%
 
EMERGENCIA ADULTA SUS/INTE11.3%
 
EXTERNO11.3%
 
UTI-CIRURGICA11.3%
 
LABORATORIO CLINICO11.3%
 
(Missing)5167.1%
 
2021-09-16T23:15:53.958889image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique8 ?
Unique (%)32.0%
2021-09-16T23:15:54.066377image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length26
Median length3
Mean length7.671052632
Min length3

DATA_COLETA
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct24
Distinct (%)100.0%
Missing52
Missing (%)68.4%
Memory size608.0 B
30/06/2020 01:38:46
 
1
25/06/2020 15:58:31
 
1
09/07/2020 11:48:51
 
1
15/07/2020 17:40:49
 
1
29/07/2020 04:50:28
 
1
Other values (19)
19 
ValueCountFrequency (%) 
30/06/2020 01:38:4611.3%
 
25/06/2020 15:58:3111.3%
 
09/07/2020 11:48:5111.3%
 
15/07/2020 17:40:4911.3%
 
29/07/2020 04:50:2811.3%
 
11/07/2020 04:53:5511.3%
 
18/07/2020 14:01:5711.3%
 
11/07/2020 18:39:0411.3%
 
07/07/2020 02:32:2711.3%
 
08/07/2020 14:43:5111.3%
 
Other values (14)1418.4%
 
(Missing)5268.4%
 
2021-09-16T23:15:54.188065image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)100.0%
2021-09-16T23:15:54.312412image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length19
Median length3
Mean length7.934210526
Min length3

PCR_COVID_19
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size608.0 B
SUSPEITO
51 
POSITIVO
25 
ValueCountFrequency (%) 
SUSPEITO5167.1%
 
POSITIVO2532.9%
 
2021-09-16T23:15:54.422846image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:15:54.489404image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:54.561868image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length8
Median length8
Mean length8
Min length8

DESFECHO
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
ÓBITO POR COVID
76 
ValueCountFrequency (%) 
ÓBITO POR COVID76100.0%
 
2021-09-16T23:15:54.658409image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:15:54.719784image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:54.784858image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length15
Median length15
Mean length15
Min length15

TIPO_REGISTRO
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
A
76 
ValueCountFrequency (%) 
A76100.0%
 
2021-09-16T23:15:54.886651image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:15:54.950070image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:55.012657image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

SN_IFI_OV_SINCICIAL_RESP
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:15:55.112947image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:15:55.171966image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:55.234054image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

SN_IFI_OV_PARAINFLU3
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:15:55.331595image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:15:55.394597image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:55.459383image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

SN_IFI_OV_PARAINFLU2
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:15:55.554598image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:15:55.615616image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:55.675650image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

SN_IFI_OV_PARAINFLU1
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:15:55.764233image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:15:55.826895image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:55.893688image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

SN_IFI_OV_INFLUA
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:15:55.994170image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:15:56.055060image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:56.113816image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

SN_IFI_OV_INFLUB
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:15:56.212439image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:15:56.273241image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:56.334142image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

SN_IFI_OV_ADENOVIRUS
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:15:56.424247image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:15:56.487426image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:56.551970image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

SN_CRIT_CONTATO_CASO_COVID
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:15:56.648337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:15:56.712267image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:56.777387image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

SN_CRIT_CONTATO_CASO_SUSPEITO
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:15:56.870247image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:15:56.930707image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:56.989661image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

SN_CRIT_PROF_SAUDE_HOSPITAL
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing76
Missing (%)100.0%
Memory size736.0 B

SN_CRIT_PROF_SAUDE_OUT
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:15:57.089647image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:15:57.153151image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:57.216951image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

SN_CRIT_SRAG
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
75 
S
 
1
ValueCountFrequency (%) 
N7598.7%
 
S11.3%
 
2021-09-16T23:15:57.327789image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.3%
2021-09-16T23:15:57.402759image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:57.471261image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

SN_CRIT_SINDROME_GRIPAL
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:15:57.567657image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:15:57.628961image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:57.894929image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

SN_CRIT_IGNORADO
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:15:57.995640image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:15:58.059988image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:58.121609image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

SN_CRIT_OUTROS
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:15:58.217994image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:15:58.278582image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:58.340131image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

SN_CRIT_PROT_COVID19
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:15:58.436980image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:15:58.494554image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:58.554700image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_TP_EXPOSICAO
Categorical

HIGH CORRELATION
MISSING

Distinct4
Distinct (%)25.0%
Missing60
Missing (%)78.9%
Memory size608.0 B
HOSPITALAR HSL
8 
DESCONHECIDO
6 
CONTATO COM SUSPEITO CONFIRMADO
1 
INSTITUICAO DE LONGA PERMANENCIA
1 
ValueCountFrequency (%) 
HOSPITALAR HSL810.5%
 
DESCONHECIDO67.9%
 
CONTATO COM SUSPEITO CONFIRMADO11.3%
 
INSTITUICAO DE LONGA PERMANENCIA11.3%
 
(Missing)6078.9%
 
2021-09-16T23:15:58.662886image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)12.5%
2021-09-16T23:15:58.738514image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:58.829648image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length32
Median length3
Mean length5.618421053
Min length3

ESTUDO_COMORB_PREV_HAS
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
68 
S
8 
ValueCountFrequency (%) 
N6889.5%
 
S810.5%
 
2021-09-16T23:15:58.929617image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:15:58.996903image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:59.067451image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_COMORB_PREV_IAM
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
75 
S
 
1
ValueCountFrequency (%) 
N7598.7%
 
S11.3%
 
2021-09-16T23:15:59.175803image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.3%
2021-09-16T23:15:59.248742image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:59.318363image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_COMORB_PREV_IC
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
75 
S
 
1
ValueCountFrequency (%) 
N7598.7%
 
S11.3%
 
2021-09-16T23:15:59.421474image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.3%
2021-09-16T23:15:59.490934image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:59.557822image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_COMORB_PREV_DRC
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
74 
S
 
2
ValueCountFrequency (%) 
N7497.4%
 
S22.6%
 
2021-09-16T23:15:59.653372image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:15:59.740141image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:59.816339image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_COMORB_PREV_DMI
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:15:59.921160image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:15:59.988986image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:00.054512image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_COMORB_PREV_DMII
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
69 
S
7 
ValueCountFrequency (%) 
N6990.8%
 
S79.2%
 
2021-09-16T23:16:00.159608image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:16:00.227130image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:00.292143image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_COMORB_PREV_CARCINOMA
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
74 
S
 
2
ValueCountFrequency (%) 
N7497.4%
 
S22.6%
 
2021-09-16T23:16:00.393191image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:16:00.462374image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:00.533174image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_COMORB_PREV_ADENOMA
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:16:00.630042image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:16:00.690878image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:00.757018image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_COMORB_PREV_LINFOMA
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:16:00.855284image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:16:00.915526image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:00.978077image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_COMORB_PREV_AVC
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
75 
S
 
1
ValueCountFrequency (%) 
N7598.7%
 
S11.3%
 
2021-09-16T23:16:01.084826image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.3%
2021-09-16T23:16:01.157337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:01.227541image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_COMORB_PREV_ASMA
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:16:01.324799image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:16:01.384987image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:01.447902image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_COMORB_PREV_DPOC
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
72 
S
 
4
ValueCountFrequency (%) 
N7294.7%
 
S45.3%
 
2021-09-16T23:16:01.555113image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:16:01.620961image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:01.687018image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_COMORB_PREV_OBESIDADE
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
75 
S
 
1
ValueCountFrequency (%) 
N7598.7%
 
S11.3%
 
2021-09-16T23:16:01.786073image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.3%
2021-09-16T23:16:01.851101image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:01.915726image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_COMORB_PREV_EPILEPSIA
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:16:02.008402image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:16:02.068319image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:02.128624image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_COMORB_PREV_HIGIDO
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:16:02.229678image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:16:02.293773image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:02.358591image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_COMORB_PREV_OUTRAS
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct13
Distinct (%)100.0%
Missing63
Missing (%)82.9%
Memory size608.0 B
DM, CRM PREVIO, AVC PREVIO
1 
DPOC, DM, DAC, TABAGISMO
1 
HAS, DM, OBESIDADE, TX RENAL, IAM
1 
HAS, CARDIOPATIA, ISQUEMIA MESENTERIA
1 
EX-TABAGISTA (CT ~ 60 MAÇOS/ANO, REMISSAO H  10 ANOS) // DPOC PRESUMIDO // NEOPLASIA DE LARINGE LOCALMENTE AVAÇANDO
1 
Other values (8)
8 
ValueCountFrequency (%) 
DM, CRM PREVIO, AVC PREVIO11.3%
 
DPOC, DM, DAC, TABAGISMO 11.3%
 
HAS, DM, OBESIDADE, TX RENAL, IAM11.3%
 
HAS, CARDIOPATIA, ISQUEMIA MESENTERIA11.3%
 
EX-TABAGISTA (CT ~ 60 MAÇOS/ANO, REMISSAO H  10 ANOS) // DPOC PRESUMIDO // NEOPLASIA DE LARINGE LOCALMENTE AVAÇANDO11.3%
 
DM2 // HAS11.3%
 
IRC, DPOC, CA DE PULMAO11.3%
 
HAS, DM, HEMORRAGIA DIGESTIVA, DARC11.3%
 
DPOC, HAS, HIPOTIREOIDISMO11.3%
 
HAS, DM, DOENÇA DE ALZHEIMER, ATAQUES ISQUEMICOS TRANSITORIOS DE REPETIÇAO 11.3%
 
Other values (3)33.9%
 
(Missing)6382.9%
 
2021-09-16T23:16:02.462821image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique13 ?
Unique (%)100.0%
2021-09-16T23:16:02.571230image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length115
Median length3
Mean length9.223684211
Min length3

ESTUDO_CHARLSON
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)42.9%
Missing62
Missing (%)81.6%
Infinite0
Infinite (%)0.0%
Mean5.642857143
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Memory size608.0 B
2021-09-16T23:16:02.918519image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.3
Q15
median5
Q35.75
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation2.239750771
Coefficient of variation (CV)0.3969178582
Kurtosis0.7477688219
Mean5.642857143
Median Absolute Deviation (MAD)0.5
Skewness0.9545734282
Sum79
Variance5.016483516
MonotocityNot monotonic
2021-09-16T23:16:03.022047image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
579.2%
 
1022.6%
 
422.6%
 
811.3%
 
611.3%
 
211.3%
 
(Missing)6281.6%
 
ValueCountFrequency (%) 
211.3%
 
422.6%
 
579.2%
 
611.3%
 
811.3%
 
ValueCountFrequency (%) 
1022.6%
 
811.3%
 
611.3%
 
579.2%
 
422.6%
 

ESTUDO_FR_DIA_COLETA
Categorical

MISSING

Distinct1
Distinct (%)100.0%
Missing75
Missing (%)98.7%
Memory size608.0 B
26
1 
ValueCountFrequency (%) 
2611.3%
 
(Missing)7598.7%
 
2021-09-16T23:16:03.123191image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%
2021-09-16T23:16:03.180793image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:03.242393image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length3
Mean length2.986842105
Min length2

ESTUDO_FC_DIA_COLETA
Categorical

MISSING

Distinct1
Distinct (%)100.0%
Missing75
Missing (%)98.7%
Memory size608.0 B
102
1 
ValueCountFrequency (%) 
10211.3%
 
(Missing)7598.7%
 
2021-09-16T23:16:03.332990image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%
2021-09-16T23:16:03.388643image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:03.455533image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length5
Median length3
Mean length3.026315789
Min length3

ESTUDO_PA_DIA_COLETA
Categorical

MISSING

Distinct1
Distinct (%)100.0%
Missing75
Missing (%)98.7%
Memory size608.0 B
163/72
1 
ValueCountFrequency (%) 
163/7211.3%
 
(Missing)7598.7%
 
2021-09-16T23:16:03.553565image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%
2021-09-16T23:16:03.611737image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:03.680468image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length6
Median length3
Mean length3.039473684
Min length3

ESTUDO_TEMPERATURA_DIA_COLETA
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing76
Missing (%)100.0%
Memory size736.0 B

ESTUDO_SATURACAO_DIA_COLETA
Categorical

MISSING

Distinct1
Distinct (%)100.0%
Missing75
Missing (%)98.7%
Memory size608.0 B
92
1 
ValueCountFrequency (%) 
9211.3%
 
(Missing)7598.7%
 
2021-09-16T23:16:03.782567image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%
2021-09-16T23:16:03.839919image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:03.902368image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length3
Mean length2.986842105
Min length2

ESTUDO_APACHE2
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing76
Missing (%)100.0%
Memory size736.0 B

ESTUDO_RISCO
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing76
Missing (%)100.0%
Memory size736.0 B

ESTUDO_TRATAMENTO
Categorical

MISSING

Distinct1
Distinct (%)100.0%
Missing75
Missing (%)98.7%
Memory size608.0 B
D
1 
ValueCountFrequency (%) 
D11.3%
 
(Missing)7598.7%
 
2021-09-16T23:16:03.993446image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%
2021-09-16T23:16:04.054597image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:04.122539image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length3
Mean length2.973684211
Min length1

ESTUDO_COMORB_PREV_TX_ORG_SOL
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
74 
S
 
2
ValueCountFrequency (%) 
N7497.4%
 
S22.6%
 
2021-09-16T23:16:04.231462image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:16:04.294891image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:04.359012image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_CONDUTA
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
L
76 
ValueCountFrequency (%) 
L76100.0%
 
2021-09-16T23:16:04.450935image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:16:04.508484image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:04.571106image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_LOCAL_CONTAMINACAO
Categorical

HIGH CORRELATION
MISSING

Distinct3
Distinct (%)20.0%
Missing61
Missing (%)80.3%
Memory size608.0 B
EXTERNO
7 
UNIDADE DE INTERNACAO HSL
7 
DESCONHECIDO
1 
ValueCountFrequency (%) 
EXTERNO79.2%
 
UNIDADE DE INTERNACAO HSL79.2%
 
DESCONHECIDO11.3%
 
(Missing)6180.3%
 
2021-09-16T23:16:04.676900image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)6.7%
2021-09-16T23:16:04.747972image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:04.825983image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length25
Median length3
Mean length5.513157895
Min length3

ESTUDO_LOCAL_CONTAM_UI
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)85.7%
Missing69
Missing (%)90.8%
Infinite0
Infinite (%)0.0%
Mean12
Minimum8
Maximum19
Zeros0
Zeros (%)0.0%
Memory size608.0 B
2021-09-16T23:16:04.909015image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile8
Q18.5
median12
Q314
95-th percentile17.8
Maximum19
Range11
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation4.082482905
Coefficient of variation (CV)0.3402069087
Kurtosis-0.23232
Mean12
Median Absolute Deviation (MAD)3
Skewness0.7407256982
Sum84
Variance16.66666667
MonotocityNot monotonic
2021-09-16T23:16:04.989798image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
822.6%
 
1211.3%
 
1311.3%
 
1911.3%
 
1511.3%
 
911.3%
 
(Missing)6990.8%
 
ValueCountFrequency (%) 
822.6%
 
911.3%
 
1211.3%
 
1311.3%
 
1511.3%
 
ValueCountFrequency (%) 
1911.3%
 
1511.3%
 
1311.3%
 
1211.3%
 
911.3%
 

ESTUDO_DT_DESFECHO
Categorical

MISSING

Distinct1
Distinct (%)100.0%
Missing75
Missing (%)98.7%
Memory size608.0 B
17/08/2020
1 
ValueCountFrequency (%) 
17/08/202011.3%
 
(Missing)7598.7%
 
2021-09-16T23:16:05.088245image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%
2021-09-16T23:16:05.145761image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:05.211523image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length10
Median length3
Mean length3.092105263
Min length3

ESTUDO_COMORB_PREV_DESCON
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:16:05.305150image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:16:05.362057image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:05.420914image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_COMORB_PREV_DVP
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:16:05.511640image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:16:05.568423image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:05.627427image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_COMORB_PREV_DEMENCIA
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:16:05.716966image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:16:05.773708image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:05.832588image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_COMORB_PREV_DTC
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:16:05.924404image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:16:05.981154image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:06.043549image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_COMORB_PREV_UP
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
75 
S
 
1
ValueCountFrequency (%) 
N7598.7%
 
S11.3%
 
2021-09-16T23:16:06.143698image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.3%
2021-09-16T23:16:06.211151image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:06.278978image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_COMORB_PREV_DFL
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:16:06.370128image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:16:06.428505image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:06.487948image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_COMORB_PREV_DFM
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:16:06.577377image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:16:06.633765image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:06.692848image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_COMORB_PREV_HEMIPLEGIA
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:16:06.785068image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:16:06.846918image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:06.910503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_COMORB_PREV_LEUCEMIA
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:16:07.011127image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:16:07.074327image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:07.137085image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_COMORB_PREV_HIV
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
76 
ValueCountFrequency (%) 
N76100.0%
 
2021-09-16T23:16:07.228896image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:16:07.287242image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:07.348698image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_COMORB_PREV_TUL
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
74 
S
 
2
ValueCountFrequency (%) 
N7497.4%
 
S22.6%
 
2021-09-16T23:16:07.446074image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-09-16T23:16:07.510602image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:07.575401image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ESTUDO_COMORB_PREV_TUM
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size608.0 B
N
75 
S
 
1
ValueCountFrequency (%) 
N7598.7%
 
S11.3%
 
2021-09-16T23:16:07.670049image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.3%
2021-09-16T23:16:07.734125image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:16:07.799485image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

Interactions

2021-09-16T23:15:43.686198image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:43.805702image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:43.899913image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:43.996126image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:44.090420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:44.180283image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:44.265845image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:44.358382image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:44.441924image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:44.539207image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:44.631292image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:44.727504image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:44.817106image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:44.905429image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:45.427151image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:45.530137image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Correlations

2021-09-16T23:16:07.890161image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-09-16T23:16:08.050880image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-09-16T23:16:08.202734image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-09-16T23:16:08.385319image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2021-09-16T23:16:09.027864image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2021-09-16T23:15:45.947800image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:49.934491image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:51.271131image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-09-16T23:15:51.687852image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Sample

First rows

df_indexCD_PACIENTECOMPETENCIAPORTA_ENTRADADATA_INICIO_SINTOMASHISTORICO_VIAGEMCIDADES_VISITADASLOCAL_COLETADATA_COLETAPCR_COVID_19DESFECHOTIPO_REGISTROSN_IFI_OV_SINCICIAL_RESPSN_IFI_OV_PARAINFLU3SN_IFI_OV_PARAINFLU2SN_IFI_OV_PARAINFLU1SN_IFI_OV_INFLUASN_IFI_OV_INFLUBSN_IFI_OV_ADENOVIRUSSN_CRIT_CONTATO_CASO_COVIDSN_CRIT_CONTATO_CASO_SUSPEITOSN_CRIT_PROF_SAUDE_HOSPITALSN_CRIT_PROF_SAUDE_OUTSN_CRIT_SRAGSN_CRIT_SINDROME_GRIPALSN_CRIT_IGNORADOSN_CRIT_OUTROSSN_CRIT_PROT_COVID19ESTUDO_TP_EXPOSICAOESTUDO_COMORB_PREV_HASESTUDO_COMORB_PREV_IAMESTUDO_COMORB_PREV_ICESTUDO_COMORB_PREV_DRCESTUDO_COMORB_PREV_DMIESTUDO_COMORB_PREV_DMIIESTUDO_COMORB_PREV_CARCINOMAESTUDO_COMORB_PREV_ADENOMAESTUDO_COMORB_PREV_LINFOMAESTUDO_COMORB_PREV_AVCESTUDO_COMORB_PREV_ASMAESTUDO_COMORB_PREV_DPOCESTUDO_COMORB_PREV_OBESIDADEESTUDO_COMORB_PREV_EPILEPSIAESTUDO_COMORB_PREV_HIGIDOESTUDO_COMORB_PREV_OUTRASESTUDO_CHARLSONESTUDO_FR_DIA_COLETAESTUDO_FC_DIA_COLETAESTUDO_PA_DIA_COLETAESTUDO_TEMPERATURA_DIA_COLETAESTUDO_SATURACAO_DIA_COLETAESTUDO_APACHE2ESTUDO_RISCOESTUDO_TRATAMENTOESTUDO_COMORB_PREV_TX_ORG_SOLESTUDO_CONDUTAESTUDO_LOCAL_CONTAMINACAOESTUDO_LOCAL_CONTAM_UIESTUDO_DT_DESFECHOESTUDO_COMORB_PREV_DESCONESTUDO_COMORB_PREV_DVPESTUDO_COMORB_PREV_DEMENCIAESTUDO_COMORB_PREV_DTCESTUDO_COMORB_PREV_UPESTUDO_COMORB_PREV_DFLESTUDO_COMORB_PREV_DFMESTUDO_COMORB_PREV_HEMIPLEGIAESTUDO_COMORB_PREV_LEUCEMIAESTUDO_COMORB_PREV_HIVESTUDO_COMORB_PREV_TULESTUDO_COMORB_PREV_TUM
0412232268509/07/2020NaNNaNNaNNaNPRONTOPUC ADULTO/INTE09/07/2020 06:55:11POSITIVOÓBITO POR COVIDANNNNNNNNNNaNNNNNNNNaNNNNNNNNNNNNNNNNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNLNaNNaNNaNNNNNNNNNNNNN
1510234842830/06/2020NaNNaNNaNNaNUTI-CORONARIANA30/06/2020 14:27:24POSITIVOÓBITO POR COVIDANNNNNNNNNNaNNNNNNNHOSPITALAR HSLNNNNNNNNNNNNNNNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNLUNIDADE DE INTERNACAO HSL9.0NaNNNNNNNNNNNNN
2519234744824/06/2020NaN20/06/2020NaNNaN7 N - INTERNACAO24/06/2020 18:36:56POSITIVOÓBITO POR COVIDANNNNNNNNNNaNNNNNNNHOSPITALAR HSLSNNNNSNNNNNNNNNDM2 // HAS4.0NaNNaNNaNNaNNaNNaNNaNNaNNLUNIDADE DE INTERNACAO HSL8.0NaNNNNNNNNNNNNN
31159235148511/07/2020NaN06/07/2020NAONaNEXTERNO11/07/2020 04:53:55POSITIVOÓBITO POR COVIDANNNNNNNNNNaNNSNNNNDESCONHECIDOSNNNNSNNNNNNNNNNaN2.026102.0163/72NaN92NaNNaNDNLDESCONHECIDONaN17/08/2020NNNNNNNNNNNN
41645194832606/07/2020NaNNaNNaNNaNPRONTOPUC ADULTO07/07/2020 02:32:27POSITIVOÓBITO POR COVIDANNNNNNNNNNaNNNNNNNCONTATO COM SUSPEITO CONFIRMADONNNNNNNNNNNSNNNEX-TABAGISTA (CT ~ 60 MAÇOS/ANO, REMISSAO H  10 ANOS) // DPOC PRESUMIDO // NEOPLASIA DE LARINGE LOCALMENTE AVAÇANDO10.0NaNNaNNaNNaNNaNNaNNaNNaNNLEXTERNONaNNaNNNNNNNNNNNSN
51799200196109/07/2020NaNNaNNaNNaNPRONTOPUC ADULTO09/07/2020 15:57:36POSITIVOÓBITO POR COVIDANNNNNNNNNNaNNNNNNNNaNNNNNNNNNNNNNNNNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNLNaNNaNNaNNNNNNNNNNNNN
61836198321529/06/2020NaN30/06/2020NaNNaNPRONTOPUC ADULTO/INTE30/06/2020 01:38:46POSITIVOÓBITO POR COVIDANNNNNNNNNNaNNNNNNNDESCONHECIDONNNNNNSNNNNSNNNIRC, DPOC, CA DE PULMAO5.0NaNNaNNaNNaNNaNNaNNaNNaNNLEXTERNONaNNaNNNNNNNNNNNSN
72187146451715/07/2020NaNNaNNaNNaNPRONTOPUC ADULTO15/07/2020 17:40:49POSITIVOÓBITO POR COVIDANNNNNNNNNNaNNNNNNNNaNNNNNNNNNNNNNNNNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNLNaNNaNNaNNNNNNNNNNNNN
82480115357325/06/2020NaNNaNNaNNaN7 S - INTERNACAO25/06/2020 15:58:31POSITIVOÓBITO POR COVIDANNNNNNNNNNaNNNNNNNHOSPITALAR HSLSNNSNNNNNNNNNNNHAS, HCV, TX RENAL4.0NaNNaNNaNNaNNaNNaNNaNNaNSLUNIDADE DE INTERNACAO HSL15.0NaNNNNNNNNNNNNN
92499138952809/07/2020NaNNaNNaNNaNPRONTOPUC ADULTO/INTE09/07/2020 06:56:51POSITIVOÓBITO POR COVIDANNNNNNNNNNaNNNNNNNNaNNNNNNNNNNNNNNNNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNLNaNNaNNaNNNNNNNNNNNNN

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df_indexCD_PACIENTECOMPETENCIAPORTA_ENTRADADATA_INICIO_SINTOMASHISTORICO_VIAGEMCIDADES_VISITADASLOCAL_COLETADATA_COLETAPCR_COVID_19DESFECHOTIPO_REGISTROSN_IFI_OV_SINCICIAL_RESPSN_IFI_OV_PARAINFLU3SN_IFI_OV_PARAINFLU2SN_IFI_OV_PARAINFLU1SN_IFI_OV_INFLUASN_IFI_OV_INFLUBSN_IFI_OV_ADENOVIRUSSN_CRIT_CONTATO_CASO_COVIDSN_CRIT_CONTATO_CASO_SUSPEITOSN_CRIT_PROF_SAUDE_HOSPITALSN_CRIT_PROF_SAUDE_OUTSN_CRIT_SRAGSN_CRIT_SINDROME_GRIPALSN_CRIT_IGNORADOSN_CRIT_OUTROSSN_CRIT_PROT_COVID19ESTUDO_TP_EXPOSICAOESTUDO_COMORB_PREV_HASESTUDO_COMORB_PREV_IAMESTUDO_COMORB_PREV_ICESTUDO_COMORB_PREV_DRCESTUDO_COMORB_PREV_DMIESTUDO_COMORB_PREV_DMIIESTUDO_COMORB_PREV_CARCINOMAESTUDO_COMORB_PREV_ADENOMAESTUDO_COMORB_PREV_LINFOMAESTUDO_COMORB_PREV_AVCESTUDO_COMORB_PREV_ASMAESTUDO_COMORB_PREV_DPOCESTUDO_COMORB_PREV_OBESIDADEESTUDO_COMORB_PREV_EPILEPSIAESTUDO_COMORB_PREV_HIGIDOESTUDO_COMORB_PREV_OUTRASESTUDO_CHARLSONESTUDO_FR_DIA_COLETAESTUDO_FC_DIA_COLETAESTUDO_PA_DIA_COLETAESTUDO_TEMPERATURA_DIA_COLETAESTUDO_SATURACAO_DIA_COLETAESTUDO_APACHE2ESTUDO_RISCOESTUDO_TRATAMENTOESTUDO_COMORB_PREV_TX_ORG_SOLESTUDO_CONDUTAESTUDO_LOCAL_CONTAMINACAOESTUDO_LOCAL_CONTAM_UIESTUDO_DT_DESFECHOESTUDO_COMORB_PREV_DESCONESTUDO_COMORB_PREV_DVPESTUDO_COMORB_PREV_DEMENCIAESTUDO_COMORB_PREV_DTCESTUDO_COMORB_PREV_UPESTUDO_COMORB_PREV_DFLESTUDO_COMORB_PREV_DFMESTUDO_COMORB_PREV_HEMIPLEGIAESTUDO_COMORB_PREV_LEUCEMIAESTUDO_COMORB_PREV_HIVESTUDO_COMORB_PREV_TULESTUDO_COMORB_PREV_TUM
6623059239125824/03/2021NaNNaNNaNNaNNaNNaNSUSPEITOÓBITO POR COVIDANNNNNNNNNNaNNNNNNNNaNNNNNNNNNNNNNNNNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNLNaNNaNNaNNNNNNNNNNNNN
6723069239183627/03/2021NaNNaNNaNNaNNaNNaNSUSPEITOÓBITO POR COVIDANNNNNNNNNNaNNNNNNNNaNNNNNNNNNNNNNNNNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNLNaNNaNNaNNNNNNNNNNNNN
6823074239192728/03/2021NaNNaNNaNNaNNaNNaNSUSPEITOÓBITO POR COVIDANNNNNNNNNNaNNNNNNNNaNNNNNNNNNNNNNNNNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNLNaNNaNNaNNNNNNNNNNNNN
692314991968105/03/2021NaNNaNNaNNaNNaNNaNSUSPEITOÓBITO POR COVIDANNNNNNNNNNaNNNNNNNNaNNNNNNNNNNNNNNNNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNLNaNNaNNaNNNNNNNNNNNNN
7023167103528609/12/2020NaNNaNNaNNaNNaNNaNSUSPEITOÓBITO POR COVIDANNNNNNNNNNaNNNNNNNNaNNNNNNNNNNNNNNNNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNLNaNNaNNaNNNNNNNNNNNNN
7123208238229903/02/2021NaNNaNNaNNaNNaNNaNSUSPEITOÓBITO POR COVIDANNNNNNNNNNaNNNNNNNNaNNNNNNNNNNNNNNNNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNLNaNNaNNaNNNNNNNNNNNNN
7223303108454723/02/2021NaNNaNNaNNaNNaNNaNSUSPEITOÓBITO POR COVIDANNNNNNNNNNaNNNNNNNNaNNNNNNNNNNNNNNNNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNLNaNNaNNaNNNNNNNNNNNNN
7323306108751525/03/2021NaNNaNNaNNaNNaNNaNSUSPEITOÓBITO POR COVIDANNNNNNNNNNaNNNNNNNNaNNNNNNNNNNNNNNNNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNLNaNNaNNaNNNNNNNNNNNNN
7423318120050514/12/2020NaNNaNNaNNaNNaNNaNSUSPEITOÓBITO POR COVIDANNNNNNNNNNaNNNNNNNNaNNNNNNNNNNNNNNNNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNLNaNNaNNaNNNNNNNNNNNNN
7523322120920412/03/2021NaNNaNNaNNaNNaNNaNSUSPEITOÓBITO POR COVIDANNNNNNNNNNaNNNNNNNNaNNNNNNNNNNNNNNNNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNLNaNNaNNaNNNNNNNNNNNNN